Data Analyst - REMOTE

Data Analyst -- REMOTE
Auto Insurance Specialists

Amazing Opportunity

Excellent corporate career opportunity
! We are currently recruiting a dedicated, service-oriented professional who is interested in an analyst career. This position will be working remotely from home.

An in-person interview may be required during the hiring process

State specific pay scales for this role are as follows:

$98,568 to $120,473 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$88,712 to $108,425 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$78,855 to $96,378 (UT, , MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
In CA:
Typical hiring range is $98,568 to $120,473

The Data Analyst will provide data and reporting support to the Data Analyst Team Lead
, helping to drive data-informed business decisions. In this role, the team member will assist in identifying unprofitable risk segments and uncover opportunities to reduce premium leakage across all lines of business. The team member will also contribute to improving AIS processes and procedures by performing data analysis, creating reports, and supporting the monitoring of underwriting production and goals. This position is ideal for someone eager to develop their skills in data analytics while supporting a lead analyst and contributing to the organization's success.

ESSENTIAL JOB FUNCTIONS:

• Data Analysis & Reporting :
  Assist in generating on-demand reports as requested by the Data Analyst Team Lead and AIS management, creating standardized reporting templates, and ensuring data accuracy. Support the premium leakage initiative to increase profitability.
• Collaboration & Support
  :
  Work independently with AIS leaders to identify and provide data support for process improvements, system changes, and innovative ideas. Present analysis needs and work within a project plan that includes business objectives, data scope, research methodology, resources, and timelines.
• Reporting & Productivity Monitoring
  :
  Create, monitor, audit, and analyze recurring reports on CSR and Sales Agent productivity, system behavior, call handling, and AIS processes. Look for opportunities to improve efficiency and prepare reports, graphs, and charts based on analysis.
• Tools & Systems Usage
  :
  Coordinate and execute reporting, directing and supporting AIS users and leaders in identifying data needed for reporting. Use tools such as Micro Strategy, Power BI, Winbroker II, Amazon Connect, Taske, and Mercury's Enterprise Data Warehouse to gather and present data.
• General Support: Assist in developing and administrating current and future goals within AIS departments. Perform additional functions as the Data Analyst Team Lead assigns to support team and company objectives.

• Data Analysis & Reporting :
  Proficient in performing data analysis and reporting using Excel ,
  SQL , and Power BI
  . Ability to collaborate with cross-functional teams to identify and address operational challenges and assist in the development of new dashboards and visualizations.
• Excel Skills :
  Strong knowledge of VLOOKUP/XLOOKUP
  , pivot tables, charts, data sorting, and conditional formatting to analyze and present data effectively.
• Data Visualization :
  Experience using Power BI (or similar tools like Tableau
  ) to create compelling visualizations and metrics. Familiarity with DAX for Power BI or VisQL for Tableau to build insightful and interactive dashboards.
• Data Modeling & SQL :
  Knowledge of SQL
  , including inner and outer joins, lag/lead functions, case statements, and basic data modeling/design. Ability to create complex queries and support data-driven decision-making.
• Robotic Process Automation :
  Basic experience with Ui Path or Power Automate for automating repetitive tasks and improving data workflows.
• Industry Knowledge :
  General understanding of the Property & Casualty Insurance industry, including specific product lines such as Home ,
  Auto , and Commercial
  .
• Underwriting & Analytical Skills
  :
  Strong analytical and quantitative skills with experience in underwriting practices, procedures, and data analysis related to premium and loss ratio analysis.
• Communication Skills
  :
  Excellent written and verbal communication skills, with the ability to present findings on underwriting data projects clearly and effectively to management and…